Quantitatively evaluating and comparing style transfer is challenging, in part because of the subjective nature of aesthetic properties defining style and visual quality, and in part due to the inherent tradeoff between content preservation and stylization [1]}, [2]}. Following the intuition developed in these papers, we conducted a human evaluation study using Amazon Mechanical Turk on a set of 75 diverse style/content pairs. The goal was to study the effect of DST on the stylization/content preservation tradeoff, in comparison to the base style transfer methods. The evaluation was conducted separately for STROTSS and Gatys-based methods. We considered three DST deformation regimes: low (\(\beta =0.3\) ,\(\gamma =75\) ), medium (\(\beta =0.5\) ,\(\gamma =50\) ), and high (\(\beta =0.7\) ,\(\gamma =10\) ) for STROTSS; low (\(\beta =3\) ,\(\gamma =750\) ), medium (\(\beta =7\) ,\(\gamma =100\) ), and high (\(\beta =15\) ,\(\gamma =100\) ) for Gatys. So for each base method, we compare four stylized output images. The effect of varying \(\beta \)  and \(\gamma \)  is illustrated in Figure REF .
